No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by swarmclawai · MCP Server · ★ 649
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is swarmvault safe to install? View the security audit →
SwarmVault Languages: English 日本語 []() A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern. Most "chat with your docs" tools answer a question and throw away the work. SwarmVault keeps a durable wiki between you and raw sources — the LLM does the bookkeeping, you do the thinking. Documentation on the website is currently English-first. If wording drifts between translations, README.md is the canonical source. Try It in 30 Seconds No repo handy? Try the built-in demo — creates a sample vault with three sources and opens the graph viewer: !
| Stars | 649 |
| Forks | 80 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.1896321575753/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-30 |
| Created | 2026-04-06 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~21k |
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swarmvault is The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management. It is categorized as a MCP Server with 649 GitHub stars.
swarmvault is primarily written in TypeScript. It covers topics such as agent-memory, ai-agents, claude-code.
You can find installation instructions and usage details in the swarmvault GitHub repository at github.com/swarmclawai/swarmvault. The project has 649 stars and 80 forks, indicating an active community.
swarmvault is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to swarmvault on Agent Skills Hub include memorix, ctx, llmwiki. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: